Laura Balzano

65 papers receiving 1.6k citations

Hit Papers

Reputation-based framework for high integrity sensor netw...20082026201420202008100200300400500

Peers

Laura Balzano
Comparison fields: 5 of 103
  • Computer Networks and Communications 735
  • Computer Vision and Pattern Recognition 433
  • Computational Mechanics 387
  • Artificial Intelligence 359
  • Electrical and Electronic Engineering 228
Replace Hong Chen with:
Hong Chen China
Tianbao Yang United States
Xiangfeng Wang China
Jeff M. Phillips United States
Yanning Shen United States
Taiji Suzuki Japan
Peter Richtárik United Kingdom
G. Mazzini Italy
Xiangmin Zhou Australia
Laura Balzano relative to Hong Chen China Hong Chen's profile →
Citations per field
00.5×2.9×
Hong Chen · 1×
Citations per year

Countries citing papers authored by Laura Balzano

Since Specialization
Citations

This map shows the geographic impact of Laura Balzano's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Balzano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Balzano more than expected).

Fields of papers citing papers by Laura Balzano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Balzano. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Balzano. The network helps show where Laura Balzano may publish in the future.

Co-authorship network of co-authors of Laura Balzano

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Balzano. A scholar is included among the top collaborators of Laura Balzano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Balzano. Laura Balzano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 0
4 4
5 1
6 21
7 13
8 12
9
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
18
10 49
11 20
12
A Modern Perspective on Streaming PCA and Subspace Tracking: The Missing Data Case
1
13 2
14
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation
20
15 2
16
High-Rank Matrix Completion
2
17
Inspect: a general framework for on-line detection and diagnosis of sensor faults
1
18
An OMICs Approach for Assessing the Safety of Single-Walled Carbon Nanotubes in Human Skin and Lung Cells
2
19
Rapid Deployment with Confidence: Calibration and Fault Detection in Environmental Sensor Networks
78
20
SIP2: High integrity in Sensor Networks: Models, Techniques, and System Support
1

About Laura Balzano

Laura Balzano is a scholar working on Computational Mathematics, Computational Mechanics and Signal Processing, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (32 papers), Blind Source Separation Techniques (12 papers) and Face and Expression Recognition (12 papers). The work is most often cited by research in Computational Mathematics (67 citations), Computer Networks and Communications (735 citations) and Computer Vision and Pattern Recognition (433 citations). Laura Balzano has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Mani Srivastava, Saurabh Ganeriwal, Jun He, Arthur Szlam, Robert D. Nowak, Robert Nowak, Dejiao Zhang, David Hong, Benjamin Recht and Jeffrey A. Fessler. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Power Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026